{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ***Introduction to Radar Using Python and MATLAB***\n",
    "## Andy Harrison - Copyright (C) 2019 Artech House\n",
    "<br/>\n",
    "\n",
    "# Power at the Radar\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Referring to Figure 4.3, the power at the radar is expressed as (Equation 4.28)\n",
    "\n",
    "$$\n",
    "P_{radar} = \\frac{P_t \\, G^2 \\, \\lambda^2 \\, \\sigma}{(4 \\pi)^3\\, r^4} \\hspace{0.5in} \\text{(W)}\n",
    "$$\n",
    "***"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Begin by getting the library path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import lib_path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the target range (m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "target_min_range = 1e3\n",
    "\n",
    "target_max_range = 10e3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the `linspace` routine from `scipy` for setting up the target range array"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from numpy import linspace\n",
    "\n",
    "target_range = linspace(target_min_range, target_max_range, 2000)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set the radar antenna gain (dB) and the target RCS (dBsm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "antenna_gain = 20.0\n",
    "\n",
    "target_rcs = 3.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Set up the keyword args"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    " kwargs = {'target_range': target_range,\n",
    "\n",
    "           'peak_power': 50e3,\n",
    "\n",
    "           'antenna_gain': 10.0 ** (antenna_gain / 10.0),\n",
    "\n",
    "           'frequency': 100e6,\n",
    "\n",
    "           'target_rcs': 10.0 ** (target_rcs / 10.0)}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the `power_at_radar` routine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from Libs.radar_range.radar_range import power_at_radar"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calcualte the power at the radar (W)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "par = power_at_radar(**kwargs)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Import the `matplotlib` routines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Set the figure size\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (15, 10)\n",
    "\n",
    "\n",
    "# Display the results\n",
    "\n",
    "plt.plot(target_range / 1.0e3, par * 1e3)\n",
    "\n",
    "\n",
    "# Set the plot title and labels\n",
    "\n",
    "plt.title('Power at the Radar', size=14)\n",
    "\n",
    "plt.xlabel('Target Range (km)', size=12)\n",
    "\n",
    "plt.ylabel('Power at Radar (mW)', size=12)\n",
    "\n",
    "\n",
    "# Set the tick label size\n",
    "\n",
    "plt.tick_params(labelsize=12)\n",
    "\n",
    "\n",
    "# Turn on the grid\n",
    "\n",
    "plt.grid(linestyle=':', linewidth=0.5)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
